AI & IoT Lab
Technological Opportunities.
AI and machine learning algorithms are transforming systems, experiences, processes, and entire industries, and professionals with expertise and skills in these fields are in high demand. We provide structured courses in the fundamentals of AI, machine learning, and IoT, as well as how to apply them to solve complex, real-world problems, preparing students for successful careers.
Real-World Examples of AI Embedded IoT Devices
- Self- Driving Cars. Self-driving cars are another use case of IoT devices embedded with AI. ...
- Smart Homes. IoT blended with AI has also lead to the emergence of smart homes concept. ...
- Body Sensors. ...
- Robots for Manufacturing Industries. ...
- Face Detection. ...
- Retail Analytics. ...
- Smart Buildings.
What is AI
Artificial intelligence (AI) makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks. Most examples of artificial intelligence that you hear about today, from chess-playing computers to self-driving cars, rely heavily on deep learning and natural language processing. Computers can be trained to perform specific tasks by processing large amounts of data and recognising patterns in the data using these technologies. Learning, reasoning, and self-correction are the three cognitive skills that AI programming focuses on. AI programming focuses on three cognitive skills: learning, reasoning and self-correction.
What exactly is the Internet of Things?
The Internet of Things (IoT) is a network of physical objects—"things"—embedded with sensors, software, and other technologies for connecting and exchanging data with other devices and systems via the internet. These devices range from commonplace household items to sophisticated industrial tools. Experts predict that the number of connected IoT devices will increase to 10 billion by 2020 and 22 billion by 2025, from more than 7 billion today.